Business development executive

We are seeking an experienced Salon Manager with a strong background in the Salon industry to lead daily salon operations and deliver exceptional guest experiences. The ideal candidate will bring luxury salon service standards, commercial acumen and people leadership skills to drive operational excellence, revenue growth and brand consistency.

Key Responsibilities:

• Oversee day-to-day salon operations ensuring smooth, efficient service delivery.
• Implement and maintain hospitality-level service standards and SOPs.
• Ensure a premium guest experience from arrival to departure.
• Manage scheduling, service flow, and capacity utilization.
• Lead, train, and motivate stylists, therapists, and front-desk staff.
• Conduct onboarding, coaching, performance reviews, and skill development.
• Foster a positive, high-performance service culture.
• Ensure grooming, hygiene, and professional conduct standards.
• Build strong relationships with guests to drive loyalty and repeat visits.
• Handle guest feedback, complaints, and service recovery with professionalism.
• Implement loyalty programs, memberships, and personalized service initiatives.
• Monitor guest satisfaction scores and online reviews.
• Drive service and retail sales through upselling and cross-selling strategies.
• Achieve monthly and annual revenue, retail, and productivity targets.
• Monitor KPIs such as average ticket value, conversion, and rebooking rates.
• Collaborate with marketing teams on promotions and local activations.
• Manage inventory, ordering, stock control, and shrinkage.
• Ensure accurate cash handling, billing, and POS reconciliation.
• Maintain compliance with health, safety, and hygiene regulations.
• Coordinate with vendors and service partners.
• Ensure salon aesthetics, cleanliness, and visual merchandising meet brand standards.
• Align service delivery with brand positioning and guest expectations.
• Support new launches, campaigns, and brand initiatives.
• Guest satisfaction and repeat visit rates.

Qualifications & Experience:

• 5–10 years of experience in Salon Industry.
• At least 2–3 years in a managerial or supervisory role.
• Strong understanding of customer service excellence and operations.
• Proven ability to lead teams and drive sales performance.
• Experience in salons, spas, wellness, or beauty services.
• Knowledge of POS systems and retail operations.
• Hospitality or retail management certification.

Why Join Rawls Group:

• Founder-led, fast-scaling luxury brand ecosystem.
• Exposure to multiple industries under one group.
• High-ownership leadership role with long-term growth opportunity.

Notice Period - 0-15 days Max

Apply only who are currently in Karnataka

F2F interview

Interview - 4 rounds

Job Title: AI Specialist

Company Overview: We are the Technology Center of Excellence for Long Arc Capital

which provides growth capital to businesses with a sustainable competitive advantage and 

a strong management team with whom we can partner to build a category leader. We focus 

on North American and European companies where technology is transforming traditional 

business models in the Financial Services, Business Services, Technology, Media and 

Telecommunications sectors.

As part of our mission to leverage AI for business innovation, we are establishing AI COE to 

develop Generative AI (GenAI) and Agentic AI solutions that enhance decision-making, 

automation, and user experiences.

Job Overview: We are seeking dynamic and talented individuals to join our AI COE. This 

team will focus on developing advanced AI models, integrating them into our cloud-based 

platform, and delivering impactful solutions that drive efficiency, innovation, and customer 

value.

Key Responsibilities:

• As a Full Stack AI Engineer, research, design, and develop AI solutions for text, 

image, audio, and video generation

• Build and deploy Agentic AI systems for autonomous decision-making across 

business outcomes and enhancing associate productivity. 

• Work with domain experts to design and fine-tune AI solutions tailored to portfoliospecific challenges.

• Partner with data engineers across portfolio companies to –

o Preprocess large datasets and ensure high-quality input for training AI 

models.

o Develop scalable and efficient AI pipelines using frameworks like 

TensorFlow, PyTorch, and Hugging Face.

• Implement MLOps best practices for AI model deployment, versioning, and 

monitoring using tools like MLflow and Kubernetes.

• Ensure AI solutions adhere to ethical standards, comply with regulations (e.g., 

GDPR, CCPA), and mitigate biases.

• Design intuitive and user-friendly interfaces for AI-driven applications, collaborating 

with UX designers and frontend developers.

Internal Use Only

• Stay up to date with the latest AI research and tools and evaluate their applicability 

to our business needs.

Key Qualifications:

Technical Expertise:

• Proficiency in full stack application development (specifically using Angular, React).

• Expertise in backend technologies (Django, Flask) and cloud platforms (AWS 

SageMaker/Azure AI Studio).

• Proficiency in deep learning frameworks (TensorFlow, PyTorch, JAX).

• Proficiency with Large Language Models (LLMs) and generative AI tools (e.g., OpenAI 

APIs, LangChain, Stable Diffusion).

• Solid understanding of data engineering workflows, including ETL processes and 

distributed computing tools (Apache Spark, Kafka).

• Experience with data pipelines, big data processing, and database management 

(SQL, NoSQL).

• Knowledge of containerization (Docker) and orchestration (Kubernetes) for scalable 

AI deployment.

• Familiarity with CI/CD pipelines and automation tools (Terraform, Jenkins).

• Good understanding of AI ethics, bias mitigation, and compliance standards.

• Excellent problem-solving abilities and innovative thinking.

• Strong collaboration and communication skills, with the ability to work in crossfunctional teams.

• Proven ability to work in a fast-paced and dynamic environment.

Preferred Qualifications:

• Advanced studies in Artificial Intelligence, or a related field.

• Experience with reinforcement learning, multi-agent systems, or autonomous 

decision-making

1.      Lead Generation & Outreach

• Identify and engage potential clients using Lead generation tools like Apollo and LinkedIn Sales Navigator.
• Plan and execute daily outreach campaigns to build brand visibility and initiate conversations.
• Collaborate with the digital marketing team to generate leads through Social Media platforms.

2.      CRM & Data Management

• Create and automate Sales pipelines and sales life cycle.
• Upload, tag, and segment prospect data in Zoho CRM for streamlined tracking and reporting.
• Monitor inbound leads from website chatbot, form submissions, and incoming calls.

3.      Follow up, Conversion & Client Engagement

• Convert qualified leads into active customers through personalized outreach and follow-ups.
• Implement structured email and call strategies to drive engagement and sales conversion.
• Share weekly performance reports.

4.      Upselling & Network Expansion

• Upsell and cross-sell products to existing clients.
• Expand corporate network via LinkedIn and Meta to promote product offerings and strengthening relationships.
• Track warm leads and initiate timely, strategic follow-ups to maximize conversion potential.

Job Title: Kofax Developer

Location: Gurugram, India (Hybrid)

Experience: 3–5 Years

Employment Type: Full-time

Job Summary:

We are seeking an experienced Kofax Developer with hands-on expertise in Kofax Total Agility (KTA). The ideal candidate will have solid experience working with both Transformation Designer and Total Agility Designer modules, and will contribute to developing, configuring, and supporting intelligent automation workflows that enhance document capture, classification, and data extraction processes.

Key Responsibilities:

• Design, develop, and maintain workflows using Kofax Total Agility (KTA).
• Configure and implement solutions using Transformation Designer for intelligent document processing (IDP).
• Develop forms, business rules, and integrations using Total Agility Designer.
• Collaborate with business analysts and stakeholders to gather requirements and deliver automation solutions.
• Conduct testing and debugging of Kofax processes and workflows.
• Support deployment, troubleshooting, and performance tuning in production environments.
• Maintain documentation and follow standard development lifecycle processes (SDLC/Agile).

Required Skills & Qualifications:

• 3–5 years of hands-on experience in Kofax Total Agility development.
• Proficiency with both Kofax Transformation Designer and Total Agility Designer.
• Strong understanding of document capture, classification, and data extraction processes.
• Experience integrating Kofax solutions with third-party systems via APIs or connectors.
• Good analytical, problem-solving, and communication skills.
• Bachelor's degree in Computer Science, Information Technology, or related field.

• Proven experience in any high-level programming languages like Java (Preferably)
• Strong knowledge of data structure, algorithms and coding
• Experience with any Messaging technologies like Kafka or Rab-bitMQ, etc.
• Proven experience in database technologies like NoSQL
• Hands-on experience with Spring, Spring Security, Spring boot, and Hibernate framework.
• Working knowledge of developing Restful Micro services.
• Strong analytical, problem-solving skills.
• Attend team meetings to discuss projects, brainstorm ideas, and put forward solutions to any issues.
• Ability to understand the Platform/domain of the business in detail & Ability to multi-task.
• Good communication and organizational skill

Position: Sales Person

Location: Salt Lake, Kolkata

Experience: 6 months and above

Salary: upto 13,000 pm

Qualification: Graduate in any field

Wanted Male Candidate

Skills: 

• Basic MS Excel and MS Word.
• Passionate for Sales.
• Fluent Verbal Communication Skill.
• Fluent in English, Bengali and Hindi.
• Confident in speaking.

Responsibilities:

• Attending customers in showroom.
• Explaining the features and products to the customers.
• Opening and closing the showroom.
• Maintaining showroom cleanliness.
• Calling leads generated from the marketing activities.
• Calling customers for feedback.

• Assisting in talent acquisition and recruitment processes
• Conducting employee onboarding and helping organize training and development initiatives
• Providing support to employees in various HR-related topics such as leaves and compensation and resolving any issues that may arise
• Promoting HR programs to create an efficient and conflict-free workplace
• Assisting in development and implementation of human resource policies
• Gathering and analysing data with useful HR metrics, like time to hire and employee turnover rates
• Enhancing job satisfaction by resolving issues promptly, applying new perks and benefits and organizing team building activities

Desired Candidate Profile

• Proven experience as an HR Generalist
• Understanding of general human resources policies and procedures
• Outstanding knowledge of MS Office
• Excellent communication and people skills
• Aptitude in problem-solving
• Ability to work comfortably under pressure and meets tight deadlines
• Desire to work as a team with a result driven approach
• Additional HR training will be a plus

Roles & Responsibilities:

The candidate is expected to create and lead a team of engineers and drive dev efforts for

Medibuddy and its various products.

The candidate will be part of the Engineering leadership team (IIT/IIM grads) and will help

strategise, execute product roadmap.

Work closely with Product and business teams to strategize or design the features and

product experiments.

Lead a team of 10+ Engineers [backend and/or mobile]

Responsible for engineering delivery in platform & product engineering pods at Medibuddy.

Scale the technology architecture, team and product to drive a 10x growth in next 12-24

months.

Code and Architect key features that form backbone of DocsApp

Conduct performance reviews and mentor and guide the team reporting

Drive adoption best engineering practices in the team and the organization

1. Deliver high quality, scalable and maintainable code at a fast pace.Skills & Qualifications:
2.  9+ yrs. relevant experience in consumer tech/ or SaaS space.
3. Tier 1 background (IIT/BITS/IIIT/NIT), Pass-out from 2014 batch or earlier.

Strong Technical Background: You have strong programming, architecture, DevOps and QA

chops. You should have experience working with a diverse engineering stack in a fast-paced

environment.

Biased toward action. You must be able to do more with less and turn would-be blockers into

opportunities for growth.

Balancing Short Term with Long Term - You have demonstrated strategic execution

balancing short term tactical execution with long term vision. You should be able to adapt

quickly as per the demands of the situation.

Efficient Execution - You must be persuasive, patient, compassionate and possess exquisite

prioritization skills.

Prior management and team-building experience. You'll be managing several direct reports

initially and will have the opportunity to scale and build out a high-performing engineering

team.

Stakeholder management - You complement product and business owners with finding the

right solutions in a timely manner.

Past entrepreneurial experience is a big plus.

Strong grasp of Nodejs/Python stack

Databases/Datastores : Mysql , Redis / Memcache , MongoDB

1. Basic Understanding of Android, iOS, Web Application stacks
2. One of SQS, RabbitMQ, SNS
3. Familiarity with AWS and its services including RDS, ECS, EBS, Cloudwatch, ELK, Redshift
   
   Nice to have -

Logging : ELK, Cloudwatch.

Frontend : html , css , Javascript

Protocols : HTTP, XMPP, MQTT, Socket.io, TCP